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To be eligible for the Microsoft AI-102 certification exam, you should have a strong understanding of Azure and AI technologies. You should also have experience in developing and deploying AI solutions using Azure services. Designing and Implementing a Microsoft Azure AI Solution certification exam is ideal for solution architects, developers, and data scientists who want to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. Passing AI-102 Exam validates your skills and knowledge in using Azure AI technologies to meet business requirements and solve real-world challenges.

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The AI-102 Certification Exam is an advanced-level certification that requires a deep understanding of Microsoft Azure and AI technologies. Candidates who pass AI-102 exam will be able to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. They will also be able to use their knowledge to help organizations leverage AI technologies to improve their business processes and gain a competitive edge in the market.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q361-Q366):

NEW QUESTION # 361
You have an Azure Cognitive Search solution and an enrichment pipeline that performs Sentiment Analysis on social media posts.
You need to define a knowledge store that will include the social media posts and the Sentiment Analysis results.
Which two fields should you include in the definition? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: A,C


NEW QUESTION # 362
You are designing a conversational interface for an app that will be used to make vacation requests. The interface must gather the following data:
* The start date of a vacation
* The end date of a vacation
* The amount of required paid time off
The solution must minimize dialog complexity. Which type of dialog should you use?

Answer: D

Explanation:
* The interface must collect structured input: start date, end date, PTO days.
* A waterfall dialog is designed for step-by-step data gathering. Each step asks one question and collects one piece of information, minimizing complexity.
* Skill dialog is for invoking another bot.
* Adaptive dialog handles interruptions and dynamic flow (more complex).
* Component dialog organizes dialogs but does not simplify sequential data collection.
The answer: B
Reference: Waterfall dialogs in Bot Framework


NEW QUESTION # 363
You are using a Language Understanding service to handle natural language input from the users of a web-based customer agent.
The users report that the agent frequently responds with the following generic response: "Sorry, I don't understand that." You need to improve the ability of the agent to respond to requests.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose three.)

Answer:

Explanation:


NEW QUESTION # 364
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 365
You plan to provision Azure Cognitive Services resources by using the following method.

You need to create a Standard tier resource that will convert scanned receipts into text.
How should you call the method? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 366
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